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honeycomb

If it Wanted to, it Would: The Bitter Lesson for LLM Users

Nov 12, 2025 By Hannah Henderson In Honeycomb
There’s a viral saying folks use about flaky crushes, spouses, and forgetful friends: "if he wanted to, he would." The idea is straightforward: when someone cares, they make the effort. As it turns out, the same principle applies surprisingly well to AI. Systems, like people, have things they "want" to do. Each model has patterns of reasoning and synthesis it performs naturally.
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harness

The AI Visibility Problem: When Speed Outruns Security

Nov 12, 2025 By Adam Arellano In Harness
Harness surveyed 500 security practitioners and decision makers responsible for securing AI-native applications from the United States, UK, Germany, and France to share findings on global security practices. The State of AI-Native Application Security 2025 dives deep into AI visibility and the changing landscape of security vulnerabilities. If 2024 was the year AI started quietly showing up in our workflows, 2025 was the year it kicked the door down.
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Weaving AI into the fabric of the company | incident.io

Nov 12, 2025 By incident-io In Incident.io
At incident.io, we’ve spent the past year shifting how we work to incorporate the AI into both how we build and what we build. The result? AI has become a fundamental pillar of our company. This is the story of how we built reliable AI for reliability itself — reshaping how teams manage and resolve incidents. From early experiments to a company-wide culture of building with AI, this is how we’re redefining incident response for the future.
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AI and Style: How Artificial Intelligence Shapes the Future of Fashion

AI and Style: How Artificial Intelligence Shapes the Future of Fashion

Nov 12, 2025 By OpsMatters In OpsMatters
AI transforms fashion by predicting trends, analyzing customer preferences, and creating a fully personalized shopping experience. Instead of guessing, AI uses data to recommend outfits, colors, and styles that match a person's taste, lifestyle, and current fashion trends.
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The Hidden Bottlenecks in AI Infrastructure (and How to Fix Them)

The Hidden Bottlenecks in AI Infrastructure (and How to Fix Them)

Nov 12, 2025 By OpsMatters In OpsMatters
Artificial intelligence has entered an era where infrastructure is the real moat. Teams spend millions on GPUs, yet models still stall, latency spikes unpredictably, and throughput flatlines at 20% of what spec sheets promise. These hidden bottlenecks lurk far beneath the surface - in power grids, network fabrics, memory bandwidth, orchestration layers, and even governance policies. In this guide, we uncover where AI infrastructure actually breaks, what the emerging data and research reveal, and how Clarifai's reasoning and orchestration stack helps eliminate these unseen friction points.
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Zebra Study: 88% of Retailers in Europe Believe Gen AI to Have Significant Impact on Loss Prevention

Zebra Study: 88% of Retailers in Europe Believe Gen AI to Have Significant Impact on Loss Prevention

Nov 11, 2025 By Zebra Technologies In Zebra Technologies
Retailers are relying on automation and AI to address shrinkage, inventory challenges and demand for seamless retail experiences as shopper satisfaction continues to decline.
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logz.io

Making Observability AI-Native with the Logz.io MCP Server

Nov 11, 2025 By Jade Lassery In logz.io
Now available: Secure, real-time access to your observability data via Logz.io’s Model Context Protocol (MCP) Server. The Logz.io MCP Server brings your logs, metrics, and telemetry data into the Model Context Protocol (MCP), an emerging open standard that lets AI systems query real data securely and contextually, in real time. That means any MCP-compatible LLM, like Claude Desktop, Cursor, your own AI agent… can now connect directly to your Logz.io environment.
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harness

Harness AI October 2025 Updates: Smarter Pipelines, Instant Troubleshooting, and Memories

Nov 11, 2025 By Chinmay Gaikwad In Harness
The AI Velocity Paradox is real. While teams are writing code faster than ever, they're hitting a wall downstream. Deployments are failing. Security vulnerabilities are slipping through. Manual toil is eating up whatever time developers saved with AI-assisted coding. The speed boost from one part of the software delivery lifecycle is being strangled by legacy processes in another. Harness is solving this the only way that works: by bringing intelligent AI deeper into the delivery process itself.
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